The next step is to create a new conda environment. Minimal self contained Python installation, and then use theĬonda command to install additional packages.įirst you will need Conda to be installed and (it can play a similar role to a pip and virtualenv combination). It is a package manager that is both cross-platform and language agnostic If you want to have more control on which packages, or have a limited internet However this approach means you will install well over one hundred packagesĪnd involves downloading the installer which is a few hundred megabytes in size. The previous section outlined how to get pandas installed as part of the Which makes it trivial to delete Anaconda if you decide (just delete Anaconda can install in the user’s home directory, Installation instructions for Anaconda can be found here.Ī full list of the packages available as part of theĪnother advantage to installing Anaconda is that you don’t needĪdmin rights to install it. Rest of the SciPy stack without needing to installĪnything else, and without needing to wait for any software to be compiled. (Linux, macOS, Windows) Python distribution for data analytics andĪfter running the installer, the user will have access to pandas and the The simplest way to install not only pandas, but Python and the most popular Installing pandas and the rest of the NumPy and Installing pandas # Installing with Anaconda # PyPI, ActivePython, various Linux distributions, or aĭevelopment version are also provided. This is the recommended installation method for most users.

The easiest way to install pandas is to install itĬross platform distribution for data analysis and scientific computing.

Pip install specific version of package